thank you!! you're so on my phd's thank you page !! all the videos are unbelievably helpful and clear, much more so than our coordinators' explanations... thank you for creating this channel!
Hi Dr. Grande, Thanks for your informative video. I was wondering how you're going to interpret the results of your analysis. In other words, how are you going to summarize the results of your analysis. In multiple linear regression, we can say that a predictor variable, say, explicit feedback, accounts for 35.6% of the variance in the outcome variable. It doesn't seem we can do the same thing, can't we? I look forward to your input. Thanks!
Thank you very much for your professional presentation. Just a question, If Goodness-of-Fit are not significant but the test of parallel lines is significant. Is it OK to use ordinal logistic regression or Multinominal logistic regression should be used?
Hi Dr.Grande, I have Question regarding Goodness of fits. If P Value of Goodness of Fit is less than 0.05, then what I have to do? Also test of Parallel LInes has P value less than 0.05.
I have some trouble with interpreting my results. My DV is oridnal (1= equal, 2= equal but with some being taller, 3= equal but some being shorter and 4= not equal). My IV consists of four groups, every group stands for a certain background. I do get significant results. Group 2 and 3 have a significant effect on the DV, 2 being a negative number and group 3 positive. The question is: What does this tell me? Group 2 gives me a lower cumulative score but I still don't know how to interpret this. Does this mean that group 2 is on the lower end and nags more towards DV-groups 1 and 2?
Quick question: I'm currently analyzing the relationship between dietary habits (ordinal variables) and disease symptoms (dichotomous/categorical). I also have BMI to use for the covariates. My question is, what should be done when the assumptions are not met? More particularly; Model fitting, pearson R-square and Test of parallel lines shows unwanted significances.
Thank you for your explanation. I have 2 nominal and 2 ordinal variables as independent variables (4), and 2 ordinal likert-scale dependent variable. In this case should i use ordinal logistic regression or nominal logistic regression? Your reply will help me a lot. Thank you in advance
Hi, I have a question on how to run a GEE with Ordinal Logistic model and be able to include the 'EM means' in the output. My study data-set includes ordinal data (a 5-point scale ranging from 1 highly unfamiliar to 5 highly familiar).I’ve run a GEE in SPSS and chose an ‘ordinal logistic’ model but it’s not possible to include ‘EM means’ in this type of model and for this type of data. Thus, when I get the results, no ‘pairwise comparisons’ table is included!
I would like to know is .016 a significant p value ? And secondly if i want to see a relationship between one dependent variable and 5 independent variables both of which are measured on a likert scale..so is ordinal logistic regression compulsory?
Great video! It helped a lot. Could you tell us how to use categorical variable as moderator instead of IV? My IV plant based diet, the higher the score, the more plant based a person eats. My DV is work productivity loss. My moderator is duration of the diet in categorical form, for instance one month or less, one month to 3 months and so on. Maybe I could dummy code duration of diet and compute a new variable by multiplying it with centered mean?
Hi. This is very helpful. I have a question. Could you please explain if ordinal regression can be used if I have a pre-post data and both the pre and post categorical variables have more than two levels?
Dear Todd, I have a 10 items likert scale variable and i want to add this variable as Covariate , shall i compute all items as one variable ? Thank you
Could you tell me, How the Wald statistics is calculated, please?. I try to divide the estimate by its standard error but I did't get the value in the SPSS ' output.
Hi Dr. Grande, thanks for the good videos that you have shared. I have a question regarding this model (ordinal regression). Since there is no exp result as we can find in binary logit or multinomial as a result of Odds Ratio, how do we find that the Odds Ratio in this model? Thank you.
This was so incredibly helpful. Thank you very much for taking the time and effort to explain this so thoroughly and make it public.
Hi Dr. Grande, I have a question. How does it feel to be the reason why I passed my class? Thank you for the help!
Thank you for saving me at the last minute of my data analysis. May God bless you, Dr Todd!
thank you!! you're so on my phd's thank you page !! all the videos are unbelievably helpful and clear, much more so than our coordinators' explanations... thank you for creating this channel!
Hi Dr. Grande, Thanks for your informative video. I was wondering how you're going to interpret the results of your analysis. In other words, how are you going to summarize the results of your analysis. In multiple linear regression, we can say that a predictor variable, say, explicit feedback, accounts for 35.6% of the variance in the outcome variable. It doesn't seem we can do the same thing, can't we? I look forward to your input. Thanks!
Thank you very much for your professional presentation. Just a question, If Goodness-of-Fit are not significant but the test of parallel lines is significant. Is it OK to use ordinal logistic regression or Multinominal logistic regression should be used?
Thanks very much. I found this very helpful. Do you have a video that discusses why one would choose a specific type of regression analysis?
Hi Dr.Grande, I have Question regarding Goodness of fits. If P Value of Goodness of Fit is less than 0.05, then what I have to do? Also test of Parallel LInes has P value less than 0.05.
I have some trouble with interpreting my results.
My DV is oridnal (1= equal, 2= equal but with some being taller, 3= equal but some being shorter and 4= not equal).
My IV consists of four groups, every group stands for a certain background.
I do get significant results. Group 2 and 3 have a significant effect on the DV, 2 being a negative number and group 3 positive.
The question is: What does this tell me? Group 2 gives me a lower cumulative score but I still don't know how to interpret this. Does this mean that group 2 is on the lower end and nags more towards DV-groups 1 and 2?
Quick question: I'm currently analyzing the relationship between dietary habits (ordinal variables) and disease symptoms (dichotomous/categorical). I also have BMI to use for the covariates.
My question is, what should be done when the assumptions are not met? More particularly; Model fitting, pearson R-square and Test of parallel lines shows unwanted significances.
Hi Dr. Grade. Can you just confirm that Ordinal regression is a parametric or non-parametric test? Thank you in advance.
What does it mean by lower cumulative score are more likely as negative estimates
I love your videos! Thank you!
Thank you for your explanation. I have 2 nominal and 2 ordinal variables as independent variables (4), and 2 ordinal likert-scale dependent variable. In this case should i use ordinal logistic regression or nominal logistic regression? Your reply will help me a lot. Thank you in advance
Very informative video, I think this will be very helpful.
Hi,
I have a question on how to run a GEE with Ordinal Logistic model and be able to include the 'EM means' in the output.
My study data-set includes ordinal data (a 5-point scale ranging from 1 highly unfamiliar to 5 highly familiar).I’ve run a GEE in SPSS and chose an ‘ordinal logistic’ model but it’s not possible to include ‘EM means’ in this type of model and for this type of data. Thus, when I get the results, no ‘pairwise comparisons’ table is included!
Very insightful. But, what does the Goodness of Fit (non-significant) test tell? How to deal with that.
I would like to know is .016 a significant p value ? And secondly if i want to see a relationship between one dependent variable and 5 independent variables both of which are measured on a likert scale..so is ordinal logistic regression compulsory?
Great video! It helped a lot. Could you tell us how to use categorical variable as moderator instead of IV? My IV plant based diet, the higher the score, the more plant based a person eats. My DV is work productivity loss. My moderator is duration of the diet in categorical form, for instance one month or less, one month to 3 months and so on.
Maybe I could dummy code duration of diet and compute a new variable by multiplying it with centered mean?
Curious why you haven't set the dependent variable as "ordinal" (it reads nominal). Does it affect the regression?
How are Dr Todd, Would you explain the interpretation in detail?
Hi Dr. Grande, how to do Ordinal regression when both dependent and independent variable has sub-variable in rating scale?
Hi. This is very helpful. I have a question. Could you please explain if ordinal regression can be used if I have a pre-post data and both the pre and post categorical variables have more than two levels?
How would you run the assumptions for binary logistic regression? Please help if you know
Dear Dr Grande, Ordinal regression here is it the same as ordered probit model?
Dear Todd, I have a 10 items likert scale variable and i want to add this variable as Covariate , shall i compute all items as one variable ? Thank you
Thanks for uploading this nice interpretation !!
You're welcome.
I'm still confused, but thanks. How do you interpret the estimate values? More likely to . . . what? The sentences were never finished.
Could you tell me, How the Wald statistics is calculated, please?. I try to divide the estimate by its standard error but I did't get the value in the SPSS ' output.
how would you interpret the continuous variable that you added to the regression, at the end?
Hi Dr. Grande, thanks for the good videos that you have shared. I have a question regarding this model (ordinal regression). Since there is no exp result as we can find in binary logit or multinomial as a result of Odds Ratio, how do we find that the Odds Ratio in this model? Thank you.
I am also confused about this, have you got the answer?
Are these assumptions the same if my independent variables are continuous?
When test of parallel lines is not significant what does it mean?
how to test the no multicollinearity assumption?
Then what are the slope and intercept values?
Hi Dr. Grande, How I calculate the odds ?
Hi,I have a question. How to conduct a multinomial logistic regression asumptions using spss.
Is this video helpful? th-cam.com/video/Ti-8pBj4mXk/w-d-xo.html
This was helpful.Thank you very much
I hope you can explain the interpretation in a more layman's term manner.
how can i run the ordinal predictor in regression ?
hi. can i request the data on this for me to practice? plsss? thanks
sir please help me to interpret the parameter estimates of ordinal logistics regression
Hello
did you know how to interpret the parameter estimates of ordinal logistics regression?
You said everything except "what does it mean with those results"
Good but voice is very low,,,
sir , atleast you should provide the ordinal data